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作 者:李昌 张见 陈资南 阚忠辉 赵锐 王晓军 LI Chang;ZHANG Jian;CHEN Zinan;KAN Zhonghui;ZHAO Rui;WANG Xiaojun(School of Resources and Environmental Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China;Anhui Tongguan Lujiang Mining Co.,Ltd.,Hefei 230000,Anhui,China;School of Emergency Management and Safety Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China;Jiangxi Key Laboratory of Mining Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China)
机构地区:[1]江西理工大学资源与环境工程学院,江西赣州341000 [2]安徽铜冠庐江矿业有限公司,安徽合肥300000 [3]江西理工大学应急管理与安全工程学院,江西赣州341000 [4]江西理工大学江西省矿业工程重点实验室,江西赣州341000
出 处:《黄金科学技术》2024年第3期523-538,共16页Gold Science and Technology
基 金:江西省“双千计划”科技创新高端人才项目“离子交换与物理渗流耦合过程稀土矿体微细颗粒沉积—释放行为研究”(编号:jxsq2019201043);江西省研究生创新专项资金项目“地压活动监测多源信息耦合分析方法及软件预警平台开发”(编号:YC2022-S635)联合资助。
摘 要:准确判识岩石破裂对保障矿山安全生产具有重要意义。为此,提出了一种双元数据趋势融合分析方法,以单一趋势指标Ti、融合趋势指标C_Ti和趋势变化率R组合判别岩石破裂阶段。针对应力、位移和声发射3种岩石破坏的伴生信息,构建了象限坐标双元数据趋势融合预警模式,实现了岩石破裂等级的准确判识与预警,并分别采用室内试验数据和现场监测数据进行了验证。研究表明:双元数据趋势融合分析方法可以准确判识室内试验不同岩性岩石的破裂阶段;将该方法应用于现场监测数据分析,其预警结果在象限坐标中的分布具有明显特征,预警危险信号位于第四象限;现场验证该方法的预警结果与实际地压活动情况高度吻合。Accurate identification of rock failure is of great significance to ensure the safety of mine production.For this reason,the trend fusion analysis method of binary was proposed for rock failure identification and early warning.In this method,the single trend index parameter Ti of different data elements was formed into quadrant coordinate points,and the fusion trend index C_Ti value of coordinate points was calculated.The combination of multiple indicators such as the numerical magnitude of the trend indicator,the continuity and the trend rate of change R were analyzed to discriminate the rock rupture stage.For the three kinds of accompanying information of rock damage,such as stress,displacement and acoustic emission,the trend fusion early warning mode of quadrant coordinate binary data was constructed,including displacement-stress data trend fusion,acoustic emission-stress data trend fusion and displacement-acoustic emission data trend fusion warning model respectively.By using the trend fusion early warning method to establish the standard of warning level,and classify the danger level into four signal categories,namely,danger,more danger,safer and safety,the accurate identification and grading warning of the rock can be realized.The binary date trend fusion analysis method was also validated using laboratory test data and field monitoring data,respectively.The research shows that the binary date trend fusion analysis method can accurately identify the fracture stage of different lithology rocks in laboratory tests.When the method is applied to the analysis of field monitoring data,the distribution of the warning results in the quadrant coordinates has obvious characteristics,and the warning danger signals are located in the fourth quadrant.The field verification shows that the early warning results of the method are highly consistent with the actual geopressure activities,realizing the multi-level hazard warning without threshold by the trend fusion of binary data.
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